Systems, analyzers, controllers, and associated methods to enhance fluid separation for distillation operations

A method for a distillation operation, the method comprising:

• a) obtaining data for a distillation operation from one or more of (a) a sensor disposed to measure a parameter of a device of the distillation operation or (b) an analyzer configured to analyze fluid output via the distillation operation;
• b) transmitting the data to an operation controller, wherein the operation controller includes:
• a local enhancement circuitry comprising a trained machine learning model and a target property of a target product of the distillation operation, and
• device controls configured to adjust the parameter of the device of the distillation operation;
• c) generating an adjustment to the parameter of the distillation operation by applying the trained machine learning model of the local enhancement circuitry to the data and the target property of the target product of the distillation operation, wherein the machine learning model of the local enhancement circuitry is trained on historical data of the distillation operation, wherein the historical data further includes data indicative of properties of products of the distillation operation;
• d) comparing the adjustment to the parameter of the distillation operation to a current parameter of the distillation operation to generate a new parameter;
• e) using the device controls to drive the current parameter of the device of the distillation operation toward the new parameter;
• and
• repeating the steps (a)-(e) to dynamically control distillation operation to improve process control in achieving the target property of the target product of the distillation operation.